Thin linear network extraction NEXSYS: a knowledge-based system for SPOT images
Jean-Marc Gilliot, Jean-Louis Amat, Georges Stamon · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
The purpose of this paper is to describe a knowledge-based system for detection and interpretation of thin linear networks in remote sensing images. The proposed system : NEXSYS (Network Extraction System) is based on a mixed object-oriented / rule-based approach. It is built on a frame-based representation and contains three levels of processing: a) A low level for segmentation, using mathematical morphology. b) An intermediate level for line tracking guided by a Hough transform. c) A high level for interpretation. A prototype implementation has been written in LISP, C, using the Knowledge Engineering Environment (KEE), on a Sun Sparc IPC 4/40 station.